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Published in:   Vol. 3 Issue 2 Date of Publication:   June 2014

Symptoms of Breast Cancer – An Analysis Using Induced Fuzzy Cognitive Maps (IFCMS)

M. Albert William,A. Victor Devadoss

Page(s):   138-141 ISSN:   2278-2397
DOI:   10.20894/IJCOA.101.003.002.011 Publisher:   Integrated Intelligent Research (IIR)

Cancer is a disease in which cells become abnormal and form more cells in an uncontrolled way. With breast can-cer, the cancer begins in the tissues that make up the breasts. The cancer cells may form a mass called a tumor. (Note: Not all tumors are cancer.) They may also invade nearby tissue and spread to lymph nodes and other parts of the body. The most common types of breast cancer are: Ductal carcinoma – Cancer that begins in the ducts and grows into surrounding tissues. About 8 in 10 breast cancers are this type. Lobular carcinoma (LAH-byuh-luhr KAR-sih-NOH-muh) – Cancer that begins in lobules and grows into surrounding tissues. About 1 in 10 breast cancers are this type. Hence, this research investigates-themostcontributing /impactful factor of symptoms of breast cancer using Induced Fuzzy Cognitive Maps (IFCMs). IFCMs area fuzzy-graph modeling approach based on expert’s opinion. This is the non-statistical approach-to study the problems with imprecise information. In the current study, Section 1 introduction about cancer. Section 2 overviews the Fuzzy Cognitive Maps theory,and its influence.Section 3 explains the Algorithmic approach of IFCM mod-els. Section 4 discusses the components (attributes) symptoms of breast cancer and implementation of IFCM model and Section 5 reveals the conclusion of the problem.